AI Mobile Apps on Fiverr: prices, tags and skills

What AI Mobile Apps gigs charge

Median package prices across 234 gigs:

• Basic: $120
• Standard: $710
• Premium: $1,500

Most used tags

• python (139 gigs)
• gpt (138 gigs)
• flutter (120 gigs)
• react native (119 gigs)
• javascript (97 gigs)
• tensorflow (80 gigs)
• ai mobile app (78 gigs)
• chatgpt (78 gigs)
• chatbot (76 gigs)
• ai chatbot (73 gigs)

Skills buyers expect

Clients expect end-to-end delivery of AI-powered mobile apps: cross-platform native apps (Flutter/React Native or iOS/Android), integrated LLM chatbots/agents, backend services, and production deployment. Projects commonly include GPT/OpenAI integrations, RAG/knowledge search, authentication, payments, analytics and post-launch support.

• Cross-platform mobile dev
• Native mobile development
• LLM integration
• Prompt engineering
• Backend API development
• Cloud deployment
• Authentication & security
• Mobile UI/UX design
• Data engineering
• Model fine-tuning

What stands out in this market

GPT/OpenAI-first conversational AI dominates

Most gigs center on ChatGPT/GPT-3/4/OpenAI-powered chatbots, agents, and custom GPT apps. Market significance: conversational LLMs are the default value proposition clients seek (customer support, assistants, Q&A), so suppliers who specialize in GPT integrations and prompt/behavior tuning capture the largest demand pool.

Two-tier pricing landscape — many affordable SMB projects plus occasional high-ticket enterprise builds

Pricing clusters around low-to-mid packages (~$90–$750) for MVPs and SMB apps and separate premium offers that reach $7k–$20k for full-featured or white‑label/enterprise solutions. Market significance: there’s room for both volume-focused agencies targeting smaller clients and boutique teams that sell high-margin, complex integrations; clear opportunity to segment offerings and tailor sales funnels.

Cross-platform stacks (Flutter, React Native) + JS/Python backends are standard

Tags and descriptions heavily feature Flutter, React Native, JavaScript/TypeScript frontends and Python/TensorFlow/PyTorch backends. Market significance: cross-platform development shortens time-to-market and lowers cost, enabling competitive SMB pricing; vendors that bundle proven cross-platform templates and LLM APIs can scale delivery and margins.

Growing demand for RAG, custom plugins, and knowledge-centric integrations

Multiple gigs advertise RAG (retrieval-augmented generation), custom ChatGPT plugins, and integrations with knowledge bases. Market significance: clients increasingly want LLMs tied to private/internal data for accuracy and compliance — a business opportunity to offer data ingestion pipelines, vector search, secure RAG implementations, and domain-specific fine-tuning.

Recurring revenue & service bundles (support, maintenance, tuning) are a key upsell

Many listings include support, maintenance, and version/AI model updates as premium services. Market significance: AI mobile apps require ongoing model/credential management and prompt tuning; packaging subscription-based support, monitoring, and model-refresh services creates stable ARR and improves client retention.